Nico González

28 yrs · Left winger (also RW, ST) · Argentina
Juventus FC · Serie A · Foot: left · Height: 180 cm
Risk: LowConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2029
Market value
€22.0M
Updated 6 days ago
Estimated acquisition
€12.4M – €23.1M
Estimated · 20–80% range
Model value
€10.1M – €22.8M
Performance-implied · estimated
Projected (24m)
€5.2M – €15.2M
Resale range · estimated
Potential value gap
-€13.0M – €10.4M
Model value − acquisition

Value picture

Where the market, the likely price and the model estimates sit.

Estimated acquisition€12.4M – €23.1M
Model value (performance-implied)€10.1M – €22.8M
Projected value (24 months)€5.2M – €15.2M
Dashed line: current market value (€22.0M). Bars are 20–80% model ranges; tick = median.

The model rates Nico González's performance-implied value at EUR 10.1M-22.8M, below the estimated acquisition range of EUR 12.4M-23.1M. Its 24-month market value projection is EUR 5.2M-15.2M. Context-adjusted goal contributions are 0.62x the positional average in the league (1471 minutes, league coefficient 0.95). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 1

What drives the score. Not a black box: each component and its level.

PerformanceHigh82.4th pct among ATT peers (age-neutral)
AgeUnfavorable28.2 years
Acquisition costFavorableest. €17.5M vs market €22.0M
Expected appreciationVery low-61% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.95
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskLow
Data confidenceMedium

Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.

Market value history

Market value ≠ transfer fee ≠ acquisition cost.

Highest recorded: €40.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1471 (43% of available)
Goals + assists / 90
0.31
Context-adjusted G+A / 90
0.25
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
82 (High)

Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.

Context

League strength
0.95 (rank 4)
Team strength (Elo)
1619
Opponent strength
1488
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Low
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€5.2M – €15.2M

Trajectory drivers: changed club; role change RW -> LW.

Historical comparables (8): median 2-year value change -59% (IQR -63% to -56%).

Risk profile

Overall: Low

  • ⚠Limited sample: 1471 league minutes last season.
  • ⓘInjury history unavailable from current data source.

League translation

What happened to players who moved from this league to the big-five leagues (observed, not a forecast).

Already playing in a big-five league.

Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.

Season-by-season (domestic league)

Context-adjusted values are model outputs.

SeasonClubLeaguePosAppsMinMin shareGAG+A/90Adj. G+A/90Opp. EloTeam EloLeague str.
2025/26Atlético de MadridLaligaLW24145443%500.310.25148816190.95
2025/26Juventus FCSerie ALW2170%000.000.26138216140.93
2024/25Juventus FCSerie ARW26176452%320.260.26149816290.99
2023/24ACF FiorentinaSerie ARW29191356%1220.660.50149915830.98
2022/23ACF FiorentinaSerie ARW24135440%610.470.41145615970.94
2021/22ACF FiorentinaSerie ARW33236169%770.530.45146614700.89
2020/21VfB StuttgartBundesligaST1593531%620.770.71155214621.06
2018/19VfB StuttgartBundesligaST30216271%230.210.32150814021.05

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueAtlético de Madrid11394001711
2025/26Copa Del ReyAtlético de Madrid26600—
2025/26World CupArgentina26001—
2024/25Uefa Champions LeagueJuventus FC6364111622
2024/25Italy CupJuventus FC28411—
2024/25Supercoppa ItalianaJuventus FC125001641
2023/24Italy CupACF Fiorentina218001—
2023/24Uefa Conference League QualifyingACF Fiorentina2180201463
2022/23Italy CupACF Fiorentina537920—
2022/23Uefa Conference League QualifyingACF Fiorentina2104101470
2021/22Italy CupACF Fiorentina633712—
2020/21Dfb PokalVfB Stuttgart215100—
2018/19Dfb PokalVfB Stuttgart17100—

Small continental samples are shown for context only and are not over-weighted.

Historical comparables

Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.

Player (then)AgeValue then~2y laterOutcome
Matteo Politano
Serie A · 2022
29€20.0M€13.0Mfell
Emmanuel Adebayor
Premier League · 2013
29€13.0M€5.0Mfell
Wilfried Bony
Premier League · 2016
28€23.0M€10.0Mfell
Gelson Martins
Ligue 1 · 2022
27€15.0M€2.5Mfell
Ángel Correa
Laliga · 2024
29€18.0M€8.0Mfell
Jonathan Ikoné
Serie A · 2024
26€10.0M€4.0Mfell
Yussuf Poulsen
Bundesliga · 2022
28€14.0M€6.0Mfell
Ayoze Pérez
Premier League · 2021
28€18.0M€6.0Mfell

Transfer history

Fees as reported by the source; undisclosed fees shown as unknown, never estimated.

DateFromToFeeMV at time
30 Jun 2026AtléticoJuventusFree / loan€22.0M
1 Sept 2025JuventusAtléticoFree / loan€24.0M
1 Jul 2025FiorentinaJuventus€28.1M€24.0M
30 Jun 2025JuventusFiorentinaFree / loan€24.0M
25 Aug 2024FiorentinaJuventusFree / loan€35.0M
1 Jul 2021StuttgartFiorentina€27.4M€22.0M
10 Jul 2018Argentinos Jrs.Stuttgart€11.3M€5.0M
1 Jul 2016Argentinos U20Argentinos Jrs.UnknownData unavailable

MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.